Four scenarios train judgment with numbers. Each states its assumptions, shows its arithmetic, and ends with a recommendation.
Lesson | What it covers |
|---|---|
Monthly token cost of a code-review assistant from example parameters. | |
Agent scope, guardrails, time saved, and a three-step chain estimate. | |
Why full pastes fail, retrieval instead, and a cost comparison. | |
A golden set, a rubric, a pre-set bar, and worked scoring. |
Real prices and model limits change across vendors and over time. Stated example parameters keep the arithmetic checkable without stating facts that expire.